Introduction

This document outlines the functional specifications for the development of Collabberry - a compensation product for early-stage teams based on web3 technology and peer-to-peer (p2p) assessment. The product aims to streamline the process of defining individual commitments, determining fair salaries, and measuring value based on peer-to-peer assessments within teams.

Overview

Collabberry was born as a result of the RnDAO Fellowship program. For 3 months I researched the problem and talked to DAO leads, founders and contributors to understand their problem well. All this described in this paper:

Compensation in early-stage teams

Components

The solution consist of several crucial components that when working together, provide all characteristics needed laid down in the paper.

Peer-to-peer Assessment process

In order to measure value, Collabberry uses peer-to-peer assessment. This assessment works slightly different than the ones we already have though.

Requirements:

  1. Using mean for calculating the score of each contributor
  2. Allowing the contributors to dynamically input achievements, even before the assessment round is open
  3. Optional anonymity as a setting
  4. Simple UI/UX for admins

Minimal Viable Salary

Each contributor can select their own Minimal Viable Salary when setting up their proposal to join the team. The inputs are: MVS, Market Rate, Commitment. Based on those a package of expected team points and MVS is created.

Ownership Tokens/Points

The system works with a token/points representing ownership in the organization. Those points are initially only in the context of Collabberry and they can further on be used by the team to mint a token of their own (Example: Governance Tokens for DAOs). The team can alternatively choose to use these points for allocation of equity on a later stage. Those tokens are not transferable and cannot be obtained on a secondary markets and public sells.

Compensation Algorithm

TO ADD; Create a diagram